David J. Brady
- Acoustics and Ultrasonics top 0.1%
- Media Technology top 0.05%
- Image Processing Techniques and Applications 45
- Advanced Optical Imaging Technologies 33
- Biophysics top 0.1%
- Instrumentation top 1%
- Computational Mechanics top 0.1%
- Sparse and Compressive Sensing Techniques 64
-
- Photonic and Optical Devices 59
-
- Digital Holography and Microscopy 41
-
- Advanced optical system design 38
- Photoacoustic and Ultrasonic Imaging 30
-
- Medical Imaging Techniques and Applications 32
- Co-authors
- Rebecca WillettXin YuanAshwin A. WagadarikarDaniel L. MarksRenu JohnLawrence CarinDavid KittleMichael E. Gehm
- Partner nations
- United StatesChinaCanada
In The Last Decade
David J. Brady
385 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Acoustics and Ultrasonics 1.1k
- Media Technology 2.2k
- Biophysics 1.1k
- Instrumentation 629
- Computational Mechanics 3.2k
Countries citing papers authored by David J. Brady
This map shows the geographic impact of David J. Brady's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David J. Brady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Brady more than expected).
Fields of papers citing papers by David J. Brady
This network shows the impact of papers produced by David J. Brady. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David J. Brady. The network helps show where David J. Brady may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David J. Brady, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 22 | |
| 10 | 2017 | 5 | |
| 11 | 2016 | 2 | |
| 12 | 2011 | 4 | |
| 13 | 2011 | 23 | |
| 14 | 2007 | 6 | |
| 15 | 2005 | 55 | |
| 16 | 2005 | 3 | |
| 17 | 2004 | 3 | |
| 18 | Bounds on wireless location estimation of mobile transmitters in a time varying acoustic underwater channel | 2003 | 1 |
| 19 | A practical approach to designing EAI-enabled applications | 2000 | 1 |
| 20 | Experimental Demonstrations of Optical Neural Computers | 1987 | 3 |
About David J. Brady
David J. Brady is a scholar working on Acoustics and Ultrasonics, Media Technology and Instrumentation, having authored 421 papers that have together received 12.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (64 papers), Photonic and Optical Devices (59 papers), Image Processing Techniques and Applications (45 papers), Digital Holography and Microscopy (41 papers), Advanced optical system design (38 papers), Advanced Optical Imaging Technologies (33 papers), Medical Imaging Techniques and Applications (32 papers) and Photoacoustic and Ultrasonic Imaging (30 papers). The work is most often cited by research in Acoustics and Ultrasonics (1.1k citations), Media Technology (2.2k citations) and Biophysics (1.1k citations). David J. Brady has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Rebecca Willett, Xin Yuan, Ashwin A. Wagadarikar, Daniel L. Marks, Renu John, Lawrence Carin, David Kittle, Michael E. Gehm, Nikos Pitsianis and Kerkil Choi. Their work appears in journals such as Optics Express, Optics Letters, Applied Optics, IEEE Transactions on Communications and Journal of the Optical Society of America A.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.